代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/244597/12853260
cpp xmoment.cpp
#include
#include
#include
#include "nr.h"
using namespace std;
// Driver for routine moment
int main(void)
{
const int NPTS=5000,NBIN=100,NPPNB=NPTS+N
www.eeworm.com/read/243813/12915709
java computemeandeviation.java
// ComputeMeanDeviation.java: Demonstrate using the math methods
public class ComputeMeanDeviation
{
// Main method
public static void main(String[] args)
{
int number = 0; // Store a
www.eeworm.com/read/329422/12955485
m main_ikeda.m
%function [x,y]=ikeda(n,mu,x0,y0)
%Syntax: [x,y]=ikeda(n,mu,x0,y0)
%_____________________________________
%
% Simulation of the Ikeda map.
% x'=1+mu*(xcos(t)-ysin(t)
% y'=mu*(xsin(t)+ycos(
www.eeworm.com/read/329331/12960185
m std.m
function y = std(x,flag,dim)
%列状数据标准差
%例如
% A=[11 4 0.2;22 3 0.5;0 3 0.4];
% std(A)
%
%STD Standard deviation.
% For vectors, STD(X) returns the standard deviation. For matrices,
%
www.eeworm.com/read/142063/12966983
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/142039/12968356
m std.m
function dev = std(chr)
% STD - Standard deviation
% For vectors, STD(chr) returns the standard
% deviation of the population. For matrices, STD(chr) is a column vector
% containing the
www.eeworm.com/read/140665/13068157
cpp xmoment.cpp
#include
#include
#include
#include "nr.h"
using namespace std;
// Driver for routine moment
int main(void)
{
const int NPTS=5000,NBIN=100,NPPNB=NPTS+N
www.eeworm.com/read/138860/13207144
m pdfb_nest.m
function nstd = pdfb_nest(nrows, ncols, pfilt, dfilt, nlevs)
% PDFB_NEST Estimate the noise standard deviation in the PDFB domain
%
% nstd = pdfb_nest(nrows, ncols, pfilt, dfilt, nlevs)
%
% Us
www.eeworm.com/read/323952/13306696
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/323951/13306747
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me